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Research shows that women and underrepresented groups often apply only when they meet every requirement. If that sounds like you, we encourage you to rethink it—your unique perspective matters. We’re excited to hear from you!
At our brand-new Shared Business Platform (SBP) in Bucharest, we offer a dynamic environment where career growth is actively supported through internal mobility, globally recognized certifications, and continuous professional development. We value work–life balance, offering flexible work arrangements, and wellbeing initiatives that help you thrive both personally and professionally.
Now, let’s explore this exciting opportunity so that you can be part of our mission.
We are seeking a Senior Software & Platform Engineer – Risk Modeling Platform to join our dynamic Tech team. This is a senior hands-on engineering role focused on software development, Python, cloud, DevOps, and full-stack platform understanding. The role requires the ability to understand the end-to-end platform setup, including infrastructure, cloud deployment, data flows, operational support, and model execution workflows.
The candidate will work across modelling constraints, data integration requirements, and application development, supporting complex risk modelling workflows and contributing to the future integration of the Risk Modeling Platform with strategic data platforms.
Responsibilities
Key duties and responsibilities
- Design, efficient, testable, reusable, and reliable code in Python, Docker on a web platform
- Implementation and enhancement of the Front end and Back end of applications responsible for task orchestration
- Implementation and design of the solution on the cloud (mainly Microsoft Azure)
Contribute to applications and platforms that support statistical modelling, analytical workflows, model execution frameworks, and large-scale quantitative computations, and help actuaries optimize models and algorithms
- Working on solutions which uses Linux, Docker, DataBricks, JupyterHub, Postgres, …
Closely work together with IT Technical team to handle automation, incidents, and 3rd level support
- Integration of user-facing elements with server-side logic
- Work collaboratively in architecting/developing solutions
Work across modelling constraints, data integration requirements, infrastructure, and software development to translate quantitative and business needs into robust technical solutions
Contribute to the future integration of the Risk Modeling Platform with strategic data platforms, working closely with modelling, data integration, architecture, and IT delivery teams
- Working with the team of very skilled Quantitative Developers
- Stay abreast of emerging technologies/industry trends
Required experience & competencies
- 10+ years professional experience building complex, scalable web applications is essential
Proven hands-on experience designing, building, and operating solutions on cloud platforms, preferably Microsoft Azure, is essential
Quantitative or analytical background, with the ability to understand statistical, actuarial, or risk modelling concepts and collaborate effectively with quantitative modelling teams
- Proficient understanding of Git and DevOps standards is essential
- Thorough knowledge of Python and Docker is essential
- Proficient in overall web development and web architecture
Experience working in environments involving statistical models, quantitative analytics, risk modelling platforms, or model execution frameworks is highly valued
- Firm grasp of OOP, FP & SOLID design principles
- Experience working with SCRUM or other Agile methodologies
- Several years in Financial Services industry, preferably Insurance/Reinsurance
- Very good knowledge of English
- Good communication skills with IT and Business
- Fast Learner
- Team spirit
- Good analytical skills
- Interested in learning new technologies
Knowledge in building big data applications (e.g. Spark, Databricks) and experience using Databricks to support large-scale model execution and optimization is a strong advantage
Previous experience with .NET/C# is of advantage
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Skills Required
- 10+ years of professional experience building complex, scalable web applications
- Hands-on experience designing, building, and operating cloud solutions, preferably Microsoft Azure
- Quantitative or analytical background and ability to understand statistical, actuarial, or risk modeling concepts
- Proficiency with Git and DevOps standards
- Thorough knowledge of Python and Docker
- Proficiency in web development and web architecture
- Understanding of object-oriented programming, functional programming, and SOLID design principles
- Experience with Scrum or other Agile methodologies
- Several years of experience in the financial services industry, preferably insurance or reinsurance
- Very good knowledge of English
- Good communication skills with IT and business stakeholders
- Experience with statistical models, quantitative analytics, risk modeling platforms, or model execution frameworks
- Knowledge of big data applications such as Spark or Databricks
- Experience using Databricks for large-scale model execution and optimization
- Previous experience with .NET or C#
- Fast learner
- Team spirit
- Good analytical skills
- Interest in learning new technologies
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
